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to the research, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and
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and electrical measurements to evaluate device performance The work will also involve MIR optical characterization, spectroscopy experiments, and data analysis Profile The successful candidate should
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metamaterial concepts for Megahertz frequencies Conduct numerical simulations of sound fields at the unit cell and device level Optimize geometries that enable impedance matching, waveguiding & wave
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infectious diseases. Job description Postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode device fabrication, and electrical engineering to develop bioelectronic
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feasibility studies of movement-paired taVNS using the SmartVNS system across inpatient, outpatient and home-based neurorehabilitation settings, assessing patient setup, device functionality, comfort